Senior Lead Software Engineer - Platform/Data Architect

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the [insert LOB or sub LOB], you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. You will design, develop, and optimize high-performance, distributed transactional data systems that power mission-critical financial applications. You will build scalable, fault-tolerant, and low-latency OLTP platforms that handle millions of transactions per second, ensuring data consistency, high availability, and regulatory compliance.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect
• Architect and implement distributed OLTP platforms using CockroachDB, PostgreSQL, MySQL, Oracle, or SQL Server to support high-throughput transactional workloads.
• Design, develop, and optimize RESTful APIs for real-time transaction processing, ensuring efficient database interactions and minimal latency.
• Develop and maintain distributed data pipelines for handling event-driven transactions with Apache Kafka, MQ, or Kinesis.
• Collaborate with SRE/DevOps teams to deploy and monitor OLTP databases in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized deployments.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience 
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Architect and implement distributed OLTP platforms using CockroachDB, PostgreSQL, MySQL, Oracle, or SQL Server to support high-throughput transactional workloads
• Expertise in distributed relational databases such as CockroachDB, PostgreSQL, MySQL, or Oracle.
• Experience with RESTful API development, including best practices for database access, connection pooling, and API rate limiting.
• Proficiency in programming languages such as Java, Python, Go, or C++ for API development and data engineering tasks.

Preferred qualifications, capabilities, and skills

• Experience designing high-availability, multi-region OLTP architectures with active-active replication.
• Hands-on experience with NoSQL transactional databases like DynamoDB.
• Understanding of CQRS (Command Query Responsibility Segregation) and event sourcing in OLTP systems.
• Prior experience in real-time payments, fraud detection, financial transaction processing.
• Deep understanding of CAP theorem, consistency models, distributed locking, and replication strategies.
• Strong knowledge of database security, access controls, encryption, and regulatory compliance.